Triple

T15946322
Position Surface form Disambiguated ID Type / Status
Subject Oneida County E386691 entity
Predicate hasCountyExecutive P37263 FINISHED
Object county executive of Oneida County LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: county executive of Oneida County | Statement: [Oneida County, hasCountyExecutive, county executive of Oneida County]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountyExecutive
Context triple: [Oneida County, hasCountyExecutive, county executive of Oneida County]
  • A. countyExecutive chosen
    Indicates that one entity serves as the chief executive authority or leader for the government of the county represented by the other entity.
  • B. hasCountyAdministrator
    Indicates that an entity is administered or overseen by a specific county administrator.
  • C. hasLieutenantGovernor
    Indicates that one entity serves as the lieutenant governor of another entity (typically a state, province, or territory).
  • D. hasExecutiveSeat
    Indicates that an entity holds a position or seat with executive authority or decision-making power within an organization or governing body.
  • E. haveExecutiveHead
    Indicates that one entity serves as the executive leader or chief authority (e.g., CEO, president, head of government) of another entity.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d37cd88190ab50760f1783e20c completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:53 a.m.